Usability and User Experience Design The Comprehensive Guide to Data-Driven UX Design
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€ 59,95
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Rheinwerk Computing, ISBN 978-1-4932-2496-8
E-Book-Formate: PDF, EPUB, Online
Rheinwerk Computing, ISBN 978-1-4932-2497-5
Calling all designers and developers! This is your all-in-one guide to data-driven UX design for digital products. See how an effective user experience incorporates insights from psychology, design principles, and practical data. Follow a proven approach for selecting your design methods, and then walk through the data-driven UX design process in detail: perform context analysis, specify requirements, develop solution prototypes, and test your products. Learn from example case studies and full-color illustrations to take your design to the next level!
- Design digital products for B2C, B2B, and medical applications that provide outstanding user experience
- Plan your design, perform context of use analyses, and identify requirements
- Develop and evaluate design solutions, from the prototyping phase to the testing and review stage
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Product supplements
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In this book, you’ll learn about:
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Theory of Design
What makes design effective? Get to know the building blocks that create an incredible user experience: ergonomics and usability, data evaluation, user research, human information processing, design principles, and more.
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UX Design Process
Master data-driven UX design. Explore methods to analyze the context of use for your design project. Use techniques such as prototypes and wireframes to develop a design solution, and then refine it through usability and UX testing.
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Design in Action
See examples of design come to life! Follow three case studies that illustrate the design process for digital products: a B2C mobility application, a B2B customer relationship management application, and a B2C/B2B medical appointment portal.
Highlights include:
- Data-driven UX design
- B2B and B2C applications
- User researcher skills
- Psychological foundations
- Design principles
- Context of use analysis
- Requirements formulation
- Prototypes and wireframes
- Design testing and evaluation
- Decision matrices
- Use cases
